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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
46
Citations
11473
World Ranking
6731
National Ranking
95

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Danil V. Prokhorov is affiliated with Toyota Motor Corporation (Japan) and has contributed extensively to the fields of Computer Science and Engineering. Their scholarly output spans 46 publications in Computer Science and 26 in Engineering, highlighting a focus on interdisciplinary research.

Their subfields of study include:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Automotive Engineering
  • Computer Vision and Pattern Recognition

Prokhorov's research covers various main topics, particularly:

  • Formal Methods in Verification
  • Adversarial Robustness in Machine Learning
  • Autonomous Vehicle Technology and Safety
  • Fault Detection and Control Systems
  • Neural Networks and Applications
  • Robotic Path Planning Algorithms
  • Simulation Techniques and Applications

Their recent papers include:

  • "Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions," 2021, published at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Risk-Bounded Control Using Stochastic Barrier Functions," 2020, published in IEEE Control Systems Letters
  • "Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions," 2021, presented at the 2021 60th IEEE Conference on Decision and Control (CDC)
  • "Force Anticipation and Its Potential Implications on Feedforward and Feedback Human Motor Control," 2020, published in Human Factors The Journal of the Human Factors and Ergonomics Society
  • "Robust acoustic directional sensing enabled by synergy between resonator-based sensor and deep learning," 2024, published in Scientific Reports

The frequent co-authors collaborating with Prokhorov are:

  • Bardh Hoxha
  • Georgios Fainekos
  • Tomoya Yamaguchi
  • Hideki Okamoto
  • Shakiba Yaghoubi

The scientist has published regularly in venues including:

  • arXiv (Cornell University)
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Control Systems Letters
  • 2021 60th IEEE Conference on Decision and Control (CDC)
  • Scientific Reports

Best Publications

  • Adaptive critic designs

    D.V. Prokhorov;D.C. Wunsch

  • Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

    Fan Yang;Lei Zhang;Sijia Yu;Danil Prokhorov

  • MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

    Zhibin Hong;Zhe Chen;Chaohui Wang;Xue Mei

  • Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks

    E.W. Saad;D.V. Prokhorov;D.C. Wunsch

  • Remote management of vehicle settings

    Setu Madhavi Namburu;Steven F. Kalik;Danil V. Prokhorov

  • Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene

    Jun Li;Xue Mei;Danil Prokhorov;Dacheng Tao

  • Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning

    Zhiqiang Wan;Hepeng Li;Haibo He;Danil Prokhorov

  • Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG

    Arthur Petrosian;Danil V. Prokhorov;Richard Homan;Richard Dasheiff

  • Adaptive critic designs: a case study for neurocontrol

    Danil V. Prokhorov;Roberto A. Santiago;Donald C. Wunsch

  • Tracking via Robust Multi-task Multi-view Joint Sparse Representation

    Zhibin Hong;Xue Mei;Danil Prokhorov;Dacheng Tao

  • Approximation with random bases

    Alexander N. Gorban;Ivan Yu. Tyukin;Danil V. Prokhorov;Konstantin I. Sofeikov

  • Stability analysis of discrete-time recurrent neural networks

    N.E. Barabanov;D.V. Prokhorov

  • Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG.

    A.A. Petrosian;D.V. Prokhorov;W. Lajara-Nanson;R.B. Schiffer

  • Automotive battery management systems

    B. Pattipati;K. Pattipati;J.P. Christopherson;S.M. Namburu

  • Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization

    I.Yu. Tyukin;D.V. Prokhorov;C. van Leeuwen

  • Model-Free Dual Heuristic Dynamic Programming

    Zhen Ni;Haibo He;Xiangnan Zhong;Danil V. Prokhorov

  • Echo state networks: appeal and challenges

    D. Prokhorov

  • GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming

    Zhen Ni;Haibo He;Dongbin Zhao;Xin Xu

  • Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components

    Cumhur Erkan Tuncali;Georgios Fainekos;Danil Prokhorov;Hisahiro Ito

  • Robust Multitask Multiview Tracking in Videos

    Xue Mei;Zhibin Hong;Danil Prokhorov;Dacheng Tao

  • Adaptation and Parameter Estimation in Systems with Unstable Target Dynamics and Nonlinear Parametrization

    Tyukin Ivan;Danil Prokhorov;Cees van Leeuwen

Frequent Co-Authors

Donald C. Wunsch
Donald C. Wunsch Missouri University of Science and Technology
Krishna R. Pattipati
Krishna R. Pattipati University of Connecticut
Haibin Ling
Haibin Ling Westlake University
Haibo He
Haibo He University of Rhode Island
Dacheng Tao
Dacheng Tao Nanyang Technological University
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Alexander N. Gorban
Alexander N. Gorban University of Leicester
Eduardo Alonso
Eduardo Alonso City, University of London
Georgios Fainekos
Georgios Fainekos Arizona State University

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